{"id":"W4392460968","doi":"10.17645/si.7785","title":"Migrant Agricultural Workers’ Experiences of Support in Three Migrant‐Intensive Communities in Canada","year":2024,"lang":"en","type":"article","venue":"Social Inclusion","topic":"Migration, Ethnicity, and Economy","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; The King's University; Western University; University of Windsor","funders":"Social Sciences and Humanities Research Council of Canada; King's University College","keywords":"Migrant workers; Agriculture; Sociology; Socioeconomics; Demographic economics; Gender studies; Political science; Economic growth; Geography; Economics; Archaeology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001378375,0.0004380308,0.0006664796,0.001091075,0.03862021,0.004828092,0.001858641,0.001214839,0.002534952],"category_scores_gemma":[0.002699052,0.000448221,0.0002693322,0.002190424,0.009966777,0.001479218,0.005532887,0.002809907,0.0001588271],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04732113,"about_ca_system_score_gemma":0.05992211,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9774459,"about_ca_topic_score_gemma":0.9944844,"domain_scores_codex":[0.9980459,0.0004539986,0.00006013945,0.0001470855,0.0003014044,0.0009915475],"domain_scores_gemma":[0.9973236,0.0004459734,0.0001919434,0.00005471713,0.0005316251,0.001452082],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00003594861,0.00002909029,0.009077517,0.00003585432,0.000003977121,0.0006914998,0.9852858,0.00002646635,0.0003668044,0.0005278261,0.0009076812,0.003011484],"study_design_scores_gemma":[0.0000016356,0.00001222587,0.00763902,0.00003165285,0.000002649628,0.00005140578,0.9879417,0.00002223558,0.00004055242,0.00004420063,0.004202761,0.000009842695],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941769,0.0003519035,0.00006672422,0.00106252,0.00002041521,0.000026515,0.00005871671,0.000005751535,0.004230615],"genre_scores_gemma":[0.9970316,0.0003516432,0.0000905542,0.0002628785,0.000003547355,0.00001777803,0.00003879174,0.000007348111,0.002195796],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04732113,"threshold_uncertainty_score":0.3433404,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02960162472097022,"score_gpt":0.2866823758105304,"score_spread":0.2570807510895601,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}